Three-Dimensional Unmanned Aerial Vehicle Path Planning in Simulated Rugged Mountainous Terrain Using Improved Enhanced Snake Optimizer (IESO)

The challenging terrain and deep ravines that characterize mountainous regions often result in slower path planning and suboptimal flight paths for unmanned aerial vehicles (UAVs) when traditional meta-heuristic optimization algorithms are employed. This study proposes a novel Improved Enhanced Snak...

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Bibliografske podrobnosti

Principais autores:	Wuke Li, Kongwen Zhang, Qi Xiong, Xiaoxiao Chen
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-05-01
Serija:	World Electric Vehicle Journal
Teme:	UAV path planning Enhanced Snake Optimizer dynamic-boundary-based opposition learning test function
Online dostop:	https://www.mdpi.com/2032-6653/16/6/295
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